Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Detection of Skin Pigmentation using Independent Component Analysis

  • Yang, Liu (Department of IT Convergence and Application Engineering, Pukyung National University) ;
  • Lee, Suk-Hwan (Department of IT Security Engineering, Dongmyong University) ;
  • Kwon, Seong-Geun (Department of Electronic Engineering, Kyungil University) ;
  • Kwon, Ki-Ryong (Department of IT Convergence and Application Engineering, Pukyung National University)
  • Received : 2012.02.27
  • Accepted : 2012.12.07
  • Published : 2013.01.31
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Abstract

This paper presents an approach for detecting and measuring human skin pigmentation. In the proposed scheme, we extract a skin area by a Gaussian skin color model that is estimated from the statistical analysis of training images and remove tiny noises through the morphology processing. A skin area is decomposed into two components of hemoglobin and melanin by an independent component analysis (ICA) algorithm. Then, we calculate the intensities of hemoglobin and melanin by using the location histogram and determine the existence of skin pigmentation according to the global and local distribution of two intensities. Furthermore, we measure the area and density of the detected skin pigmentation. Experimental results verified that our scheme can both detect the skin pigmentation and measure the quantity of that and also our scheme takes less time because of the location histogram.

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References

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